You can find some sample conversations with the bot here:https://github.com/google-research/google-research/blob/master/meena/meena.txt …
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My favorite conversation is below. The Hayvard pun was funny but I totally missed the steer joke at the end until it was pointed out today by
@Blonkhartpic.twitter.com/AmTobwf9A0
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I had another conversation with Meena just now. It's not as funny and I don't understand the first answer. But the replies to the next two questions are quite funny.pic.twitter.com/lpOZpsvDck
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By perplexity do you mean average perplexity? I wonder if a weighted average perplexity would be better?
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Perplexity for a language model, by definition, is computed by first averaging all neg log predictions and then exponentiating. Does that help explain?https://towardsdatascience.com/perplexity-intuition-and-derivation-105dd481c8f3 …
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For deep NLP it has been A hell of a ride wherein To minimize perplexity While lacking convexity It’s neural architecture search for the win.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Great work! Can’t wait to chat with Meena soon, perhaps via Google Home one day!
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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chatbot = future of marketing, no doubt about that http://bots.my/giveaway
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Chatbots = future of winning elections, I'm afraid
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Really impressive work. Congrats!
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Čini se da učitavanje traje već neko vrijeme.
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